Image classification is one of AI’s most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...

The rise of AI-driven IoT devices is pushing the limits of today’s microcontroller unit (MCU) landscape. While AI-powered perception applications—such as voice, facial recognition, object detection, ...

This figure illustrates the difference between digital and physical attacks in the context of remote sensing. It is observed that: • For physical attacks, the attacker manipulates either the actual ...

When it comes to deploying AI workloads, the pressure to keep up with data-hungry models has exposed a growing weakness in storage architecture. CoreWeave’s AI Object Storage directly addresses this ...

Perhaps you’ve seen the viral posts on X — people sharing selfies where part of their faces are obscured by hands or various objects. Then, the same selfie with the object removed as if by magic.

Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...

Industry-Leading Storage Service Purpose-Built for AI Workloads Delivers Local-Like Performance, Global Availability, and More Than 75 Percent Lower Cost AI performance hinges on data mobility – ...